This book integrates theory and practice in decision-making, with a specific focus on data-driven decision making.
Applications are demonstrated in the contexts of administration, supervision, and teaching.
The book provides a unique contribution to the literature in this field in that the studies of decision theory
and data-based decision making are integrated. Focusing on educators assuming leadership roles in school improvement,
the book's content is equally relevant for administrators, supervisors, and teachers.
The book, however, is centered on data-driven decision making, both as a requirement of the No Child Left Behind
Act and as a normative professional standard. Issues related to accumulating, storing, and protecting data in districts
and schools also are covered. Applications in administration, supervision, and teaching are demonstrated.
Table of Contents
Preface. PART I. FOUNDATIONS OF DECISION MAKING IN SCHOOLS Chapter 1. Problem Solving and Decision Making in the Context of School Reform
Chapter 2. Decision-Making Behavior
Chapter 3. Decision Complexity, Models, and Action Theories
Chapter 4. Group Decision Making PART II. DATA - BASED DECISIONS Chapter 5. Understanding Data-Driven Decision Making
Chapter 6. Research to Drive Education Decision Making
Chapter 7. Collecting and Accessing Data
Chapter 8. Technology and Information Management PART III. APPLYING DATA - BASED DECISIONS Chapter 9. Curriculum and Instruction
Chapter 10. Effective School Improvement
Chapter 11. Implementing and Monitoring Decisions
